Assistant Engineer in Embedded Systems AI

The artificial intelligence (AI) engineer assistant in embedded systems helps develop and integrate AI-based solutions for embedded systems in constrained environments such as aeronautics, automotive, or consumer electronics.

He/she works with engineers to implement AI algorithms optimized for limited resources in terms of computing power, memory, and energy.

Main tasks

Development of AI algorithms for embedded systems

Software development for embedded systems

Testing and validating AI solutions

System maintenance and improvement support

Information
Clés

Language Technical English for reading documentation and international interactions.

Salary From €37,000 gross per year.

Details of
Main tasks

Development of AI algorithms for embedded systems

Assist in the design and development of artificial intelligence algorithms (machine learning, neural networks) adapted to embedded systems.
Optimize algorithms to run on microcontrollers or low-power processors.
Work on integrating AI solutions for specific tasks such as image recognition, sensor data processing, or autonomous decision-making.

Software development for embedded systems

Participate in the programming of artificial intelligence software modules for embedded systems, using languages such as C/C++, Python, and AI libraries adapted to embedded systems (TensorFlow Lite, ONNX, etc.).
Collaborate on the configuration and implementation of embedded architectures to optimize the execution of AI algorithms.

Testing and validating AI solutions

Contribute to the implementation of unit tests and algorithm validation on embedded platforms.
Help analyze the performance of embedded systems running AI algorithms, taking into account real-time constraints, energy consumption and reliability.
Participate in algorithm adjustments and optimization based on test results.

System maintenance and improvement support

Assist in the continuous improvement of AI-based embedded systems, taking into account user feedback and analysis results.
Participate in the maintenance of embedded software to ensure system stability and safety under real-life conditions.

Compétences techniques

Basic knowledge of artificial intelligence algorithms and machine learning techniques.

Experience in software development for embedded systems (C/C++, Python, etc.).

Understanding the constraints of embedded systems (memory, real-time, power consumption).

Familiarity with development and simulation tools for embedded systems (MATLAB, Simulink, embedded debugging tools).

Behavioral skills

Ability to solve complex problems and propose innovative solutions in constrained environments.

Analytical skills to anticipate threats and secure embedded systems proactively.

Good team spirit and ability to work with multidisciplinary teams.

Excellent communication skills to explain complex technical concepts and test results.

Working conditions

Travail en bureau avec des interactions régulières avec les équipes de développement, de test et de sécurité.

Participation à des essais sur des systèmes réels (avions, drones, véhicules autonomes, etc.) pour valider les solutions IA et de cybersécurité.

Possibilité de déplacements occasionnels pour des réunions techniques ou des essais sur le terrain.

Specialization majors
to train for this profession

Specialization Major
Airframes

Specialization major
Aerospace propulsion

Specialization Major
Cyber, data, AI

Specialization major
Embedded systems
and telecommunications

Specialization major
Space systems

Specialization Major
Autonomous aeronautical systems

Specialization Major
Space, launchers
and satellites

Specialization major
Logistics management
integrated

Specialization major
Project management

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